The risk and prognostic factors for liver metastases in esophageal cancer patients: A large‐cohort based study
Abstract Background This retrospective study aimed to explore risk factors for liver metastases (LiM) in patients with esophageal cancer (EC) and to identify prognostic factors in patients initially diagnosed with LiM. Methods A total of 28 654 EC patients were retrieved from the Surveillance, Epide...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-11-01
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| Series: | Thoracic Cancer |
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| Online Access: | https://doi.org/10.1111/1759-7714.14642 |
| _version_ | 1811256260325015552 |
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| author | Peng Luo Xiufeng Wei Chen Liu Xiankai Chen Yafan Yang Ruixiang Zhang Xiaozheng Kang Jianjun Qin Xiuzhu Qi Yin Li |
| author_facet | Peng Luo Xiufeng Wei Chen Liu Xiankai Chen Yafan Yang Ruixiang Zhang Xiaozheng Kang Jianjun Qin Xiuzhu Qi Yin Li |
| author_sort | Peng Luo |
| collection | DOAJ |
| description | Abstract Background This retrospective study aimed to explore risk factors for liver metastases (LiM) in patients with esophageal cancer (EC) and to identify prognostic factors in patients initially diagnosed with LiM. Methods A total of 28 654 EC patients were retrieved from the Surveillance, Epidemiology and End Results (SEER) database from 2010 to 2018. A multivariate logistic regression model was utilized to identify risk factors for LiM. A Cox regression model was used to identify prognostic factors for patients with LiM. Results Of 28 654 EC patients, 4062 (14.2%) had LiM at diagnosis. The median overall survival (OS) for patients with and without LiM was 6.00 (95% CI: 5.70–6.30) months and 15.00 (95% CI: 14.64–15.36) months, respectively. Variables significantly associated with LiM included gender, age, tumor site, histology, tumor grade, tumor size, clinical T stage, clinical N stage, bone metastases (BoM), brain metastases (BrM) and lung metastases (LuM). Variables independently predicting survival for EC patients with LiM were age, histology, tumor grade, BoM, BrM, LuM, and chemotherapy. A risk prediction model and two survival prediction models were then constructed revealing satisfactory predictive accuracy. Conclusions Based on the largest known cohort of EC, independent predictors of LiM and prognostic indicators of survival for patients with LiM were identified. Two models for predicting survival as well as a risk prediction model were developed with robust predictive accuracy. |
| first_indexed | 2024-04-12T17:38:24Z |
| format | Article |
| id | doaj.art-2406577a4fe2442c9250069599ab85fa |
| institution | Directory Open Access Journal |
| issn | 1759-7706 1759-7714 |
| language | English |
| last_indexed | 2024-04-12T17:38:24Z |
| publishDate | 2022-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | Thoracic Cancer |
| spelling | doaj.art-2406577a4fe2442c9250069599ab85fa2022-12-22T03:22:53ZengWileyThoracic Cancer1759-77061759-77142022-11-0113212960296910.1111/1759-7714.14642The risk and prognostic factors for liver metastases in esophageal cancer patients: A large‐cohort based studyPeng Luo0Xiufeng Wei1Chen Liu2Xiankai Chen3Yafan Yang4Ruixiang Zhang5Xiaozheng Kang6Jianjun Qin7Xiuzhu Qi8Yin Li9Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaDepartment of Thoracic Surgery, Beijing Chuiyangliu Hospital Chuiyangliu Hospital Affiliated to Tsinghua University Beijing ChinaDepartment of Ophthalmology, Shanghai Changhai Hospital Naval Military Medical University Shanghai ChinaDepartment of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaDepartment of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaDepartment of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaDepartment of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaDepartment of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaDepartment of Ultrasound Fudan University Shanghai Cancer Center Shanghai ChinaDepartment of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaAbstract Background This retrospective study aimed to explore risk factors for liver metastases (LiM) in patients with esophageal cancer (EC) and to identify prognostic factors in patients initially diagnosed with LiM. Methods A total of 28 654 EC patients were retrieved from the Surveillance, Epidemiology and End Results (SEER) database from 2010 to 2018. A multivariate logistic regression model was utilized to identify risk factors for LiM. A Cox regression model was used to identify prognostic factors for patients with LiM. Results Of 28 654 EC patients, 4062 (14.2%) had LiM at diagnosis. The median overall survival (OS) for patients with and without LiM was 6.00 (95% CI: 5.70–6.30) months and 15.00 (95% CI: 14.64–15.36) months, respectively. Variables significantly associated with LiM included gender, age, tumor site, histology, tumor grade, tumor size, clinical T stage, clinical N stage, bone metastases (BoM), brain metastases (BrM) and lung metastases (LuM). Variables independently predicting survival for EC patients with LiM were age, histology, tumor grade, BoM, BrM, LuM, and chemotherapy. A risk prediction model and two survival prediction models were then constructed revealing satisfactory predictive accuracy. Conclusions Based on the largest known cohort of EC, independent predictors of LiM and prognostic indicators of survival for patients with LiM were identified. Two models for predicting survival as well as a risk prediction model were developed with robust predictive accuracy.https://doi.org/10.1111/1759-7714.14642esophageal cancerintroductionliver metastasesnomogramprognosisrisk factors |
| spellingShingle | Peng Luo Xiufeng Wei Chen Liu Xiankai Chen Yafan Yang Ruixiang Zhang Xiaozheng Kang Jianjun Qin Xiuzhu Qi Yin Li The risk and prognostic factors for liver metastases in esophageal cancer patients: A large‐cohort based study Thoracic Cancer esophageal cancer introduction liver metastases nomogram prognosis risk factors |
| title | The risk and prognostic factors for liver metastases in esophageal cancer patients: A large‐cohort based study |
| title_full | The risk and prognostic factors for liver metastases in esophageal cancer patients: A large‐cohort based study |
| title_fullStr | The risk and prognostic factors for liver metastases in esophageal cancer patients: A large‐cohort based study |
| title_full_unstemmed | The risk and prognostic factors for liver metastases in esophageal cancer patients: A large‐cohort based study |
| title_short | The risk and prognostic factors for liver metastases in esophageal cancer patients: A large‐cohort based study |
| title_sort | risk and prognostic factors for liver metastases in esophageal cancer patients a large cohort based study |
| topic | esophageal cancer introduction liver metastases nomogram prognosis risk factors |
| url | https://doi.org/10.1111/1759-7714.14642 |
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